Search for the supersymmetric partner of the top quark in

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Search for the supersymmetric partner of the top quark in
pp collisions at s=1.96TeV
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Citation
Aaltonen, T. et al. “Search for the supersymmetric partner of the
top quark in pp[over ¯] collisions at sqrt[s]=1.96TeV.” Physical
Review D 82.9 (2010) : n. pag. © 2010 The American Physical
Society
As Published
http://dx.doi.org/10.1103/PhysRevD.82.092001
Publisher
American Physical Society
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Final published version
Accessed
Thu May 26 06:23:00 EDT 2016
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http://hdl.handle.net/1721.1/62848
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Detailed Terms
PHYSICAL REVIEW D 82, 092001 (2010)
pffiffiffi
Search for the supersymmetric partner of the top quark in pp collisions at s ¼ 1:96 TeV
T. Aaltonen,22 B. Álvarez González,10,w S. Amerio,42a D. Amidei,33 A. Anastassov,37 A. Annovi,18 J. Antos,13
G. Apollinari,16 J. A. Appel,16 A. Apresyan,47 T. Arisawa,56 A. Artikov,14 J. Asaadi,52 W. Ashmanskas,16 B. Auerbach,59
A. Aurisano,52 F. Azfar,41 W. Badgett,16 A. Barbaro-Galtieri,27 V. E. Barnes,47 B. A. Barnett,24 P. Barria,45c,45a P. Bartos,13
M. Bauce,42b,42a G. Bauer,31 F. Bedeschi,45a D. Beecher,29 S. Behari,24 G. Bellettini,45b,45a J. Bellinger,58 D. Benjamin,15
A. Beretvas,16 A. Bhatti,49 M. Binkley,16,a D. Bisello,42b,42a I. Bizjak,29,cc K. R. Bland,5 C. Blocker,7 B. Blumenfeld,24
A. Bocci,15 A. Bodek,48 D. Bortoletto,47 J. Boudreau,46 A. Boveia,12 B. Brau,16,b L. Brigliadori,6b,6a A. Brisuda,13
C. Bromberg,34 E. Brucken,22 M. Bucciantonio,45b,45a J. Budagov,14 H. S. Budd,48 S. Budd,23 K. Burkett,16
G. Busetto,42b,42a P. Bussey,20 A. Buzatu,32 S. Cabrera,15,y C. Calancha,30 S. Camarda,4 M. Campanelli,34 M. Campbell,33
F. Canelli,12,16 A. Canepa,44 B. Carls,23 D. Carlsmith,58 R. Carosi,45a S. Carrillo,1,l S. Carron,16 B. Casal,10 M. Casarsa,16
A. Castro,6b,6a P. Catastini,16 D. Cauz,53a V. Cavaliere,45c,45a M. Cavalli-Sforza,4 A. Cerri,27,g L. Cerrito,29,r Y. C. Chen,1
M. Chertok,8 G. Chiarelli,45a G. Chlachidze,16 F. Chlebana,16 K. Cho,26 D. Chokheli,14 J. P. Chou,21 W. H. Chung,58
Y. S. Chung,48 C. I. Ciobanu,43 M. A. Ciocci,45c,45a A. Clark,19 D. Clark,7 G. Compostella,42b,42a M. E. Convery,16
J. Conway,8 M. Corbo,43 M. Cordelli,18 C. A. Cox,8 D. J. Cox,8 F. Crescioli,45b,45a C. Cuenca Almenar,59 J. Cuevas,10,w
R. Culbertson,16 D. Dagenhart,16 N. d’Ascenzo,43,u M. Datta,16 P. de Barbaro,48 S. De Cecco,50a G. De Lorenzo,4
M. Dell’Orso,45b,45a C. Deluca,4 L. Demortier,49 J. Deng,15,d M. Deninno,6a F. Devoto,22 M. d’Errico,42b,42a
A. Di Canto,45b,45a B. Di Ruzza,45a J. R. Dittmann,5 M. D’Onofrio,28 S. Donati,45b,45a P. Dong,16 T. Dorigo,42a K. Ebina,56
A. Elagin,52 A. Eppig,33 R. Erbacher,8 D. Errede,23 S. Errede,23 N. Ershaidat,43,bb R. Eusebi,52 H. C. Fang,27
S. Farrington,41 M. Feindt,25 J. P. Fernandez,30 C. Ferrazza,45d,45a R. Field,1 G. Flanagan,47,s R. Forrest,8 M. J. Frank,5
M. Franklin,21 J. C. Freeman,16 I. Furic,1 M. Gallinaro,49 J. Galyardt,11 J. E. Garcia,19 A. F. Garfinkel,47 P. Garosi,45c,45a
H. Gerberich,23 E. Gerchtein,16 S. Giagu,50b,50a V. Giakoumopoulou,3 P. Giannetti,45a K. Gibson,46 C. M. Ginsburg,16
N. Giokaris,3 P. Giromini,18 M. Giunta,45a G. Giurgiu,24 V. Glagolev,14 D. Glenzinski,16 M. Gold,36 D. Goldin,52
N. Goldschmidt,1 A. Golossanov,16 G. Gomez,10 G. Gomez-Ceballos,31 M. Goncharov,31 O. González,30 I. Gorelov,36
A. T. Goshaw,15 K. Goulianos,49 A. Gresele,42a S. Grinstein,4 C. Grosso-Pilcher,12 R. C. Group,16 J. Guimaraes da Costa,21
Z. Gunay-Unalan,34 C. Haber,27 S. R. Hahn,16 E. Halkiadakis,51 A. Hamaguchi,40 J. Y. Han,48 F. Happacher,18 K. Hara,54
D. Hare,51 M. Hare,55 R. F. Harr,57 K. Hatakeyama,5 C. Hays,41 M. Heck,25 J. Heinrich,44 M. Herndon,58 S. Hewamanage,5
D. Hidas,51 A. Hocker,16 W. Hopkins,16,h D. Horn,25 S. Hou,1 R. E. Hughes,38 M. Hurwitz,12 U. Husemann,59 N. Hussain,32
M. Hussein,34 J. Huston,34 G. Introzzi,45a M. Iori,50b,50a A. Ivanov,8,p E. James,16 D. Jang,11 B. Jayatilaka,15 E. J. Jeon,26
M. K. Jha,6a S. Jindariani,16 W. Johnson,8 M. Jones,47 K. K. Joo,26 S. Y. Jun,11 T. R. Junk,16 T. Kamon,52 P. E. Karchin,57
Y. Kato,40,o W. Ketchum,12 J. Keung,44 V. Khotilovich,52 B. Kilminster,16 D. H. Kim,26 H. S. Kim,26 H. W. Kim,26
J. E. Kim,26 M. J. Kim,18 S. B. Kim,26 S. H. Kim,54 Y. K. Kim,12 N. Kimura,56 S. Klimenko,1 K. Kondo,56 D. J. Kong,26
J. Konigsberg,1 A. Korytov,1 A. V. Kotwal,15 M. Kreps,25 J. Kroll,44 D. Krop,12 N. Krumnack,5,m M. Kruse,15
V. Krutelyov,52,e T. Kuhr,25 M. Kurata,54 S. Kwang,12 A. T. Laasanen,47 S. Lami,45a S. Lammel,16 M. Lancaster,29
R. L. Lander,8 K. Lannon,38,v A. Lath,51 G. Latino,45c,45a I. Lazzizzera,42a T. LeCompte,2 E. Lee,52 H. S. Lee,12 J. S. Lee,26
S. W. Lee,52,x S. Leo,45b,45a S. Leone,45a J. D. Lewis,16 C.-J. Lin,27 J. Linacre,41 M. Lindgren,16 E. Lipeles,44 A. Lister,19
D. O. Litvintsev,16 C. Liu,46 Q. Liu,47 T. Liu,16 S. Lockwitz,59 N. S. Lockyer,44 A. Loginov,59 D. Lucchesi,42b,42a
J. Lueck,25 P. Lujan,27 P. Lukens,16 G. Lungu,49 J. Lys,27 R. Lysak,13 R. Madrak,16 K. Maeshima,16 K. Makhoul,31
P. Maksimovic,24 S. Malik,49 G. Manca,28,c A. Manousakis-Katsikakis,3 F. Margaroli,47 C. Marino,25 M. Martı́nez,4
R. Martı́nez-Balları́n,30 P. Mastrandrea,50a M. Mathis,24 M. E. Mattson,57 P. Mazzanti,6a K. S. McFarland,48 P. McIntyre,52
R. McNulty,28,j A. Mehta,28 P. Mehtala,22 A. Menzione,45a C. Mesropian,49 T. Miao,16 D. Mietlicki,33 A. Mitra,1
H. Miyake,54 S. Moed,21 N. Moggi,6a M. N. Mondragon,16,l C. S. Moon,26 R. Moore,16 M. J. Morello,16 J. Morlock,25
P. Movilla Fernandez,16 A. Mukherjee,16 Th. Muller,25 P. Murat,16 M. Mussini,6b,6a J. Nachtman,16,n Y. Nagai,54
J. Naganoma,56 I. Nakano,39 A. Napier,55 J. Nett,58 C. Neu,44,aa M. S. Neubauer,23 J. Nielsen,27,f L. Nodulman,2
O. Norniella,23 E. Nurse,29 L. Oakes,41 S. H. Oh,15 Y. D. Oh,26 I. Oksuzian,1 T. Okusawa,40 R. Orava,22 L. Ortolan,4
S. Pagan Griso,42b,42a C. Pagliarone,53a E. Palencia,10,g V. Papadimitriou,16 A. A. Paramonov,2 J. Patrick,16
G. Pauletta,53B,53a M. Paulini,11 C. Paus,31 D. E. Pellett,8 A. Penzo,53a T. J. Phillips,15 G. Piacentino,45a E. Pianori,44
J. Pilot,38 K. Pitts,23 C. Plager,9 L. Pondrom,58 K. Potamianos,47 O. Poukhov,14,a F. Prokoshin,14,z A. Pronko,16
F. Ptohos,18,i E. Pueschel,11 G. Punzi,45b,45a J. Pursley,58 A. Rahaman,46 V. Ramakrishnan,58 N. Ranjan,47 I. Redondo,30
P. Renton,41 M. Rescigno,50a F. Rimondi,6b,6a L. Ristori,45a,16 A. Robson,20 T. Rodrigo,10 T. Rodriguez,44 E. Rogers,23
S. Rolli,55 R. Roser,16 M. Rossi,53a F. Ruffini,45c,45a A. Ruiz,10 J. Russ,11 V. Rusu,16 A. Safonov,52 W. K. Sakumoto,48
1550-7998= 2010=82(9)=092001(16)
092001-1
Ó 2010 The American Physical Society
PHYSICAL REVIEW D 82, 092001 (2010)
T. AALTONEN et al.
53B,53a
45a
54
43,u
43
L. Santi,
L. Sartori, K. Sato, V. Saveliev,
A. Savoy-Navarro, P. Schlabach,16 A. Schmidt,25 E. E. Schmidt,16
M. P. Schmidt,59,a M. Schmitt,37 T. Schwarz,8 L. Scodellaro,10 A. Scribano,45c,45a F. Scuri,45a A. Sedov,47 S. Seidel,36
Y. Seiya,40 A. Semenov,14 F. Sforza,45b,45a A. Sfyrla,23 S. Z. Shalhout,8 T. Shears,28 P. F. Shepard,46 M. Shimojima,54,t
S. Shiraishi,12 M. Shochet,12 I. Shreyber,35 A. Simonenko,14 P. Sinervo,32 A. Sissakian,14,a K. Sliwa,55 J. R. Smith,8
F. D. Snider,16 A. Soha,16 S. Somalwar,51 V. Sorin,4 P. Squillacioti,16 M. Stanitzki,59 R. St. Denis,20 B. Stelzer,32
O. Stelzer-Chilton,32 D. Stentz,37 J. Strologas,36 G. L. Strycker,33 Y. Sudo,54 A. Sukhanov,1 I. Suslov,14 K. Takemasa,54
Y. Takeuchi,54 J. Tang,12 M. Tecchio,33 P. K. Teng,1 J. Thom,16,h J. Thome,11 G. A. Thompson,23 E. Thomson,44
P. Ttito-Guzmán,30 S. Tkaczyk,16 D. Toback,52 S. Tokar,13 K. Tollefson,34 T. Tomura,54 D. Tonelli,16 S. Torre,18
D. Torretta,16 P. Totaro,53B,53a M. Trovato,45d,45a Y. Tu,44 N. Turini,45c,45a F. Ukegawa,54 S. Uozumi,26 A. Varganov,33
E. Vataga,45d,45a F. Vázquez,1,l G. Velev,16 C. Vellidis,3 M. Vidal,30 I. Vila,10 R. Vilar,10 M. Vogel,36 G. Volpi,45b,45a
P. Wagner,44 R. L. Wagner,16 T. Wakisaka,40 R. Wallny,9 S. M. Wang,1 A. Warburton,32 D. Waters,29 M. Weinberger,52
W. C. Wester III,16 B. Whitehouse,55 D. Whiteson,44,d A. B. Wicklund,2 E. Wicklund,16 S. Wilbur,12 F. Wick,25
H. H. Williams,44 J. S. Wilson,38 P. Wilson,16 B. L. Winer,38 P. Wittich,16,h S. Wolbers,16 H. Wolfe,38 T. Wright,33
X. Wu,19 Z. Wu,5 K. Yamamoto,40 J. Yamaoka,15 T. Yang,16 U. K. Yang,12,q Y. C. Yang,26 W.-M. Yao,27 G. P. Yeh,16
K. Yi,16,n J. Yoh,16 K. Yorita,56 T. Yoshida,40,k G. B. Yu,15 I. Yu,26 S. S. Yu,16 J. C. Yun,16 A. Zanetti,53a
Y. Zeng,15 and S. Zucchelli6b,6a
(CDF Collaboration)
1
Institute of Physics, Academia Sinica, Taipei, Taiwan 11529, Republic of China
2
Argonne National Laboratory, Argonne, Illinois 60439, USA
3
University of Athens, 157 71 Athens, Greece
4
Institut de Fisica d’Altes Energies, Universitat Autonoma de Barcelona, E-08193, Bellaterra (Barcelona), Spain
5
Baylor University, Waco, Texas 76798, USA
6a
Istituto Nazionale di Fisica Nucleare, 6-40127 Bologna, Italy
6b
University of Bologna, I-40127 Bologna, Italy
7
Brandeis University, Waltham, Massachusetts 02254, USA
8
University of California, Davis, Davis, California 95616, USA
9
University of California, Los Angeles, Los Angeles, California 90024, USA
10
Instituto de Fisica de Cantabria, CSIC-University of Cantabria, 39005 Santander, Spain
11
Carnegie Mellon University, Pittsburgh, Pennsylvania 15213, USA
12
Enrico Fermi Institute, University of Chicago, Chicago, Illinois 60637, USA
13
Comenius University, 842 48 Bratislava, Slovakia; Institute of Experimental Physics, 040 01 Kosice, Slovakia
14
Joint Institute for Nuclear Research, RU-141980 Dubna, Russia
15
Duke University, Durham, North Carolina 27708, USA
16
Fermi National Accelerator Laboratory, Batavia, Illinois 60510, USA
1
University of Florida, Gainesville, Florida 32611, USA
18
Laboratori Nazionali di Frascati, Istituto Nazionale di Fisica Nucleare, I-00044 Frascati, Italy
19
University of Geneva, CH-1211 Geneva 4, Switzerland
20
Glasgow University, Glasgow G12 8QQ, United Kingdom
21
Harvard University, Cambridge, Massachusetts 02138, USA
22
Division of High Energy Physics, Department of Physics, University of Helsinki and Helsinki Institute of Physics,
FIN-00014, Helsinki, Finland
23
University of Illinois, Urbana, Illinois 61801, USA
24
The Johns Hopkins University, Baltimore, Maryland 21218, USA
25
Institut für Experimentelle Kernphysik, Karlsruhe Institute of Technology, D-76131 Karlsruhe, Germany
26
Center for High Energy Physics: Kyungpook National University, Daegu 702-701, Korea;
Seoul National University, Seoul 151-742, Korea;
Sungkyunkwan University, Suwon 440-746, Korea;
Korea Institute of Science and Technology Information, Daejeon 305-806, Korea;
Chonnam National University, Gwangju 500-757, Korea;
Chonbuk National University, Jeonju 561-756, Korea
27
Ernest Orlando Lawrence Berkeley National Laboratory, Berkeley, California 94720, USA
28
University of Liverpool, Liverpool L69 7ZE, United Kingdom
29
University College London, London WC1E 6BT, United Kingdom
30
Centro de Investigaciones Energeticas Medioambientales y Tecnologicas, E-28040 Madrid, Spain
31
Massachusetts Institute of Technology, Cambridge, Massachusetts 02139, USA
092001-2
SEARCH FOR THE SUPERSYMMETRIC PARTNER OF THE . . .
PHYSICAL REVIEW D 82, 092001 (2010)
32
Institute of Particle Physics: McGill University, Montréal, Québec, Canada H3A 2T8;
Simon Fraser University, Burnaby, British Columbia, Canada V5A 1S6;
University of Toronto, Toronto, Ontario, Canada M5S 1A7;
and TRIUMF, Vancouver, British Columbia, Canada V6T 2A3
33
University of Michigan, Ann Arbor, Michigan 48109, USA
34
Michigan State University, East Lansing, Michigan 48824, USA
35
Institution for Theoretical and Experimental Physics, ITEP, Moscow 117259, Russia
36
University of New Mexico, Albuquerque, New Mexico 87131, USA
37
Northwestern University, Evanston, Illinois 60208, USA
38
The Ohio State University, Columbus, Ohio 43210, USA
39
Okayama University, Okayama 700-8530, Japan
40
Osaka City University, Osaka 588, Japan
41
University of Oxford, Oxford OX1 3RH, United Kingdom
42a
Istituto Nazionale di Fisica Nucleare, Sezione di Padova-Trento, I-35131 Padova, Italy;
42b
University of Padova, I-35131 Padova, Italy
43
LPNHE, Universite Pierre et Marie Curie/IN2P3-CNRS, UMR7585, Paris, F-75252 France
44
University of Pennsylvania, Philadelphia, Pennsylvania 19104, USA
45a
Istituto Nazionale di Fisica Nucleare Pisa, I-56127 Pisa, Italy;
45b
University of Pisa, I-56127 Pisa, Italy;
45c
University of Siena, I-56127 Pisa, Italy;
45d
Scuola Normale Superiore, I-56127 Pisa, Italy;
46
University of Pittsburgh, Pittsburgh, Pennsylvania 15260, USA
47
Purdue University, West Lafayette, Indiana 47907, USA
48
University of Rochester, Rochester, New York 14627, USA
49
The Rockefeller University, New York, New York 10065, USA
50a
Istituto Nazionale di Fisica Nucleare, Sezione di Roma 1, I-00185 Roma, Italy;
50b
Sapienza Università di Roma, I-00185 Roma, Italy
51
Rutgers University, Piscataway, New Jersey 08855, USA
52
Texas A&M University, College Station, Texas 77843, USA
53a
Istituto Nazionale di Fisica Nucleare Trieste/Udine, I-34100 Trieste, Italy;
53B
University of Trieste/Udine, I-33100 Udine, Italy
a
Deceased
With visitors from University of Massachusetts Amherst,
Amherst, MA 01003, USA
c
With visitors from Istituto Nazionale di Fisica Nucleare,
Sezione di Cagliari, 09042 Monserrato (Cagliari), Italy
d
With visitors from University of California Irvine, Irvine, CA
92697, USA
e
With visitors from University of California Santa Barbara,
Santa Barbara, CA 93106 , USA
f
With visitors from University of California Santa Cruz, Santa
Cruz, CA 95064, USA
g
With visitors from CERN, CH-1211 Geneva, Switzerland
h
With visitors from Cornell University, Ithaca, NY 14853,
USA
i
With visitors from University of Cyprus, Nicosia CY-1678,
Cyprus
j
With visitors from University College Dublin, Dublin 4,
Ireland
k
With visitors from University of Fukui, Fukui City, Fukui
Prefecture, Japan 910-0017
l
(k) With visitors from Universidad Iberoamericana, Mexico
D.F., Mexico
m
With visitors from Iowa State University, Ames, IA 50011,
USA
n
With visitors from University of Iowa, Iowa City, IA 52242,
USA
o
With visitors from Kinki University, Higashi-Osaka City,
Japan 577-8502
b
p
With visitors from Kansas State University, Manhattan, KS
66506, USA
q
With visitors from University of Manchester, Manchester
M13 9PL, United Kingdom
r
With visitors from Queen Mary, University of London,
London, E1 4NS, United Kingdom
s
With visitors from Muons, Inc., Batavia, IL 60510, USA
t
With visitors from Nagasaki Institute of Applied Science,
Nagasaki, Japan
u
With visitors from National Research Nuclear University,
Moscow, Russia
v
With visitors from University of Notre Dame, Notre Dame,
IN 46556, USA
w
With visitors from Universidad de Oviedo, E-33007 Oviedo,
Spain
x
With visitors from Texas Tech University, Lubbock, TX
79609, USA
y
With visitors from IFIC (CSIC-Universitat de Valencia),
56071 Valencia, Spain
z
With visitors from Universidad Tecnica Federico Santa
Maria, 110v Valparaiso, Chile
aa
With visitors from University of Virginia, Charlottesville, VA
22906, USA
bb
With visitors from Yarmouk University, Irbid 211-63, Jordan
cc
With visitors from On leave from J. Stefan Institute,
Ljubljana, Slovenia
092001-3
PHYSICAL REVIEW D 82, 092001 (2010)
T. AALTONEN et al.
54
University of Tsukuba, Tsukuba, Ibaraki 305, Japan
Tufts University, Medford, Massachusetts 02155, USA
56
Waseda University, Tokyo 169, Japan
57
Wayne State University, Detroit, Michigan 48201, USA
58
University of Wisconsin, Madison, Wisconsin 53706, USA
59
Yale University, New Haven, Connecticut 06520, USA
(Received 3 September 2010; published 2 November 2010)
55
We present a search for the lightest supersymmetric partner of the top quark in proton-antiproton
pffiffiffi
collisions at a center-of-mass energy s ¼ 1:96 TeV. This search was conducted within the framework of
the R parity conserving minimal supersymmetric extension of the standard model, assuming the stop
decays dominantly to a lepton, a sneutrino, and a bottom quark. We searched for events with two
oppositely-charged leptons, at least one jet, and missing transverse energy in a data sample corresponding
to an integrated luminosity of 1 fb1 collected by the Collider Detector at Fermilab experiment. No
significant evidence of a stop quark signal was found. Exclusion limits at 95% confidence level in the stop
quark versus sneutrino mass plane are set. Stop quark masses up to 180 GeV=c2 are excluded for
sneutrino masses around 45 GeV=c2 , and sneutrino masses up to 116 GeV=c2 are excluded for stop quark
masses around 150 GeV=c2 .
DOI: 10.1103/PhysRevD.82.092001
PACS numbers: 14.80.Ly, 13.85.Rm, 12.60.Jv
I. INTRODUCTION
The minimal supersymmetric standard model [1]
(MSSM) was introduced to solve several problems that
arise in the standard model (SM). These include: the
hierarchy problem that requires the fine-tuning of theoretical parameters in order to obtain cancellation of large
quantum corrections to the Higgs mass; the lack of convergence of the strong, weak, and electromagnetic gauge
couplings at the grand-unification energy scale; and the
lack of a dark matter candidate.
The MSSM assigns a new bosonic counterpart to each
SM fermion and likewise a fermionic superpartner to each
SM boson. This results in scalar partners q~L and q~R to the
SM quark helicity states qL and qR . There can be two
supersymmetric mass eigenstates for each supersymmetric
quark (squark) corresponding to the two fermionic
degrees-of-freedom of the SM quark. The supersymmetric
scalar top quark (stop) mass eigenstates ~t1 and ~t2 are
rotated relative to ~tL and ~tR by a mixing angle ~t . In
some models [2], m~t1;2 mt . The large mass of the top
quark and the corresponding large value of the top-toHiggs coupling constant may lead to a large splitting
between m~t1 and m~t2 . Consequently the lower mass stop
quark eigenstate is expected to be the lightest of all the
squarks, with a mass even below the top quark, making its
detection at the Tevatron a realistic possibility.
The MSSM possesses a new conserved quantity called R
parity (Rp ), defined as Rp ¼ ð1Þ3ðBLÞþ2S , where B is the
baryon number, L is the lepton number, and S is the spin.
As a consequence, the lightest supersymmetric particle
(LSP) must be stable and is a dark matter candidate.
Because the initial state of pp collisions has Rp ¼ þ1
and supersymmetric particles have Rp ¼ 1, supersymmetric particles must be pair produced. At the Tevatron
stop quarks are expected to be produced primarily through
gluon-gluon (gg) fusion and quark-antiquark (qq)
annihilation, with gg fusion dominant at low stop masses
( < 100 GeV=c2 ) and qq annihilation dominant at higher
stop masses [3].
The produced stop (~t) quarks can decay via several
possible channels, depending on the masses of the particles
~ 01 , ~t ! b
~þ
involved. Two-body decays include ~t ! t
1,
0
0
~ 1 is the lightest neutralino and ~þ
~ 1 , where and ~t ! c
1
the lightest chargino. These decays may not be kinematically possible for a light stop, or they may be suppressed by
higher-order diagrams. They are also constrained by existing limits [4,5]. Possible three-body decays include ~t !
~ 01 , ~t ! bl~þ l , and ~t ! blþ ~l , where l~ is the superW þ b
symmetric lepton and ~l the supersymmetric neutrino.
Limits on the supersymmetric lepton and neutralino
masses from experiments at the large electron-positron
collider (LEP) [4] restrict the range of stop masses available to the first two decay modes.
The decay ~t ! blþ ~l , which proceeds via a virtual
chargino, is the subject of this analysis. We assume the
branching ratio for this decay mode is 100%, and that
electrons, muons, and taus are equally likely decay products. While electrons and muons are detected directly, taus
are only included opportunistically in this analysis through
their decays into electrons and muons. We also assume that
the supersymmetric neutrino decays neutrally into the LSP
(or is the LSP), thus escaping undetected and leading to
missing transverse energy (ET ) [6] in the detector. Since
stop quarks are produced in pairs, we search for events with
two opposite-charge leptons (ee, e, ),ET , and at least
one hadronic jet.
Previous searches at LEP and at the Tevatron [4,5] for
the stop quark using the same topology as this analysis
have produced negative results. These analyses have set
092001-4
SEARCH FOR THE SUPERSYMMETRIC PARTNER OF THE . . .
95% confidence level exclusion limits in the stop-sneutrino
mass plane. This paper extends
pffiffiffi the earlier CDF results
1
based
on
107
pb
of
data
at
s ¼ 1:8 TeV to 1 fb1 at
pffiffiffi
s ¼ 1:96 TeV.
The structure of this paper is as follows: Sec. II details
the detector and the data set, Sec. III describes the background estimation, Sec. IV the signal predictions and
systematic uncertainties, Sec. V event preselection and
control samples, Sec. VI explains the optimization of event
selection cuts, and Sec. VII presents the results and
conclusions.
II. THE DETECTOR AND DATA SET
The data sample corresponds to an integrated luminosity
of 1 fb1 of pp collisions at a center-of-mass energy of
1.96 TeV collected with the CDF detector [7] at the
Fermilab Tevatron. Of particular relevance to this analysis
are the tracking system, the calorimetry, and the muon
detectors.
The tracking system consists of two silicon micro-strip
detectors and a multiwire open-cell drift chamber, the
central outer tracker (COT). The silicon vertex detector
(SVX) and the intermediate silicon layers cover the pseudorapidity [6] region jj < 2, while the COT covers jj <
1. The tracking system is surrounded by a superconducting
solenoid with a magnetic field of 1.4 T. The relative track
momentum resolution provided by the COT is pT =p2T ’
0:0015 ðGeV=cÞ1 .
Outside the magnet in the radial direction are electromagnetic and hadronic calorimeters arranged in a projective tower geometry with a tower granularity of
’ 0:1 0:26 in the central region. The central
electromagnetic calorimeter (CEM) utilizes leadscintillator sampling and covers jj < 1:1 with energy
pffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffi
resolution for electrons ET =ET ’ 13:5%= ET ðGeVÞ 2%. The central electromagnetic shower maximum detector (CES) is located inside the CEM at a depth of six
radiation lengths, close to the position of maximum electromagnetic shower development, and is used for the determination of the shower shape and for matching the
shower location to the track extrapolation. The central
hadron calorimeter (CHA) uses iron-scintillator sampling
and covers jj < 0:9. Its energy resolution for hadrons is
pffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffi
ET =ET ’ 75%= ET ðGeVÞ 3%.
Additional calorimetry extends the coverage in the forward direction and is used in this analysis for calculating
ET and jet energies but not for lepton identification. The
plug electromagnetic calorimeter covers 1:1 < jj < 3:6
and is constructed of lead and scintillator layers with
an energy resolution for electrons of ET =ET ’
pffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffi
16%= ET ðGeVÞ 1%. The plug hadron calorimeter covers 1:3 < jj < 3:6 and is constructed of iron and scintillator layers with an energy resolution for hadrons of
pffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffi
ET =ET ’ 80%= ET ðGeVÞ 5%. The iron and scintilla-
PHYSICAL REVIEW D 82, 092001 (2010)
tor wall hadron calorimeter covers the intermediate region
0:7 < jj < 1:3 between the central and plug hadron
calorimeters. Its energy resolution is ET =ET ’
pffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffi
75%= ET ðGeVÞ 4%.
Radially outside the calorimetry is the muon detection
system. The parts of the muon detector relevant to this
analysis are the central muon detector (CMU), the central
muon upgrade detector (CMP) and the central muon extension (CMX). The CMU consists of four-layer drift
chambers and covers the pseudorapidity range jj < 0:6.
The CMP is made of four layers of single-wire drift cells
located behind an additional 3.3 interaction lengths of steel
and covers jj < 0:6. Muons with reconstructed track
stubs found in both the CMU and CMP are labeled
CMUP muons. The CMX extends the coverage to jj <
1 and is made up of eight layers of drift tubes.
The data were collected using a three-level trigger system. The first two levels are mostly hardware based, while
the third level is software based and is a fast version of the
offline event reconstruction package. The online selection
requires at least two lepton candidates falling into the
following categories: CEM-CEM, CEM-CMUP, CEMCMX, CMUP-CMUP, and CMUP-CMX, where the leptons are labeled by the detector components used in their
identification. The triggers used in this analysis had an ET
threshold of 4 GeV for electrons and a pT threshold of
4 GeV=c for muons.
All lepton candidates require the presence of a wellreconstructed track in the COT detector. Offline, electrons
are required to pass a 2 comparison of the CES lateral
shower profile in the r-z view and the profile extracted
from electron test-beam data. The shower position in the
CES must also match the extrapolated position of the track.
In addition, the lateral shower profile in the CEM towers
must be consistent with that expected from test-beam data.
The energy deposited in the calorimeters must be consistent with the track momentum measurement and the energy
deposition in the CHA must be small. To reduce the
background arising from the decay of hadrons in jets, the
electrons are required to be isolated. Isolated electrons are
selected by requiring that the remaining transverse energy
after subtracting the transverse energy associated with the
electron in a cone of 0.4 in - space (Eiso
T ) must be less
=E
be
less than 0.1 if
than 2 GeV if ET 20 GeV or Eiso
T
T
ET > 20 GeV. Electrons arising from photons that convert
into eþ e pairs are removed by cuts applied to pairs of
opposite-charge tracks with small opening angles. The
electron identification efficiency was measured with
Drell-Yan (DY) electrons to range from 75 to 83% [8]
increasing with the electron ET .
Muons are identified by matching tracks with
reconstructed track stubs in the CMUP or CMX.
The energy deposited in the calorimeters must be consistent with a minimum-ionizing particle. The isolation requirement is similar to that for electrons: Eiso
T < 2 GeV if
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Eiso
T =ET
pT 20 GeV=c or
< 0:1 if pT > 20 GeV=c.
The muon identification efficiency was measured with
J= c and Z data to be in the range 90–96% [8] rising
with the muon pT .
For both electrons and muons the impact parameter (d0 )
of the track with respect to the beam line position must be
less than 0.2 cm if the track is based on COT information
only or less than 0.02 cm if silicon-based tracking is also
available. The longitudinal position of the event vertex is
required to be within 60 cm of the center of the detector.
Jets are identified in - space as a group of electromagnetic and hadronic towers using a clustering algorithm
pffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffi
with cone size R ¼ ðÞ2 þ ðÞ2 ¼ 0:7. The jet energy resolution is ’ 0:1 ET ðGeVÞ 1 GeV for jets
with 35 < ET < 450 GeV. In order to find genuine hadronic jets and to avoid counting electrons and photons as
jets, the fraction of the total energy deposited in the electromagnetic calorimeters is required to be between 0.1 and
0.9. Corrections to the jet energy are applied to take into
account -dependent losses, luminosity-dependent multiple interactions, and nonlinearities in calorimeter response [9]. In this analysis, we require at least one jet
with jj < 2 and ET > 15 GeV after corrections.
ET is calculated as the magnitude of the negative vector
sum of the transverse energy deposited in the calorimeter
towers with jj < 3:6 and energy larger than 0.1 GeV.
Since muons are minimum-ionizing particles and deposit
only ’ 2 GeV energy in the calorimetry, the muon momentum from tracking (minus the expected energy deposition) is used to correctET . The energy corrections applied
to jets with jj < 2:4 and ET > 10 GeV are also propagated to the calculation of ET .
III. BACKGROUND ESTIMATION
Several background sources result in events with dileptons, jets, and ET . These backgrounds are tt production,
production, DY
other heavy-flavor quark (bb and cc)
production of lepton pairs where mismeasurement of a
jet or lepton results in substantial ET , diboson production
(WW, WZ, ZZ, and W), and events with a lepton and a
misidentified or secondary lepton (l þ fake). The jets in
most backgrounds result from QCD initial-state or finalstate radiation (ISR or FSR).
The tt, DY, and diboson backgrounds are estimated by
generating Monte Carlo (MC) events using the PYTHIA [10]
event generator followed by a GEANT-based [11] detector
simulation. Backgrounds arising from fake leptons and
ccÞ
are estimated using data-driven
heavy-flavor ðbb;
methods.
The MC tt samples are normalized to the next-to-leading-order (NLO) cross section tt ¼ 6:71 pb [12] with a
top mass of 175 GeV=c2 . The Z ! ee, Z ! , and Z !
samples are normalized to a leading-order cross section
times branching ratio of 1272 pb for mll > 10 GeV=c2
times a k-factor of 1.4 [13] to correct for NLO contribu-
tions. The NLO cross sections times branching ratios for
WW ! ll, WZ ! llX, and ZZ ! llX are 1.27, 0.365,
and 1.513 pb respectively [14]. For W ! e and W !
, we use the leading-order cross section of 21.5 pb
times a k factor of 1.34 to account for NLO contributions
[15].
The lepton plus fake background consists of events with
a genuine lepton plus a ‘‘fake’’ lepton which is either a
light hadron misidentified as a lepton or an uninteresting
lepton from pion or kaon decay in flight. For muons the
fakes can be particles that penetrate the calorimeters and
absorbing material and reach the muon detectors or decay
in flight to muons. In the case of electrons, fakes are
usually jets that are misidentified as electrons, mainly
due to neutral pions that decay to photons, which shower
in the electromagnetic calorimeters. This background is
estimated by examining samples of single-lepton events
taken with the ET > 8 GeV electron calibration trigger and
the pT > 8 GeV=c muon calibration trigger. Events with at
least one ET > 4 GeV central jet (jj < 1:1) or one isolated track with pT > 4 GeV=c passing the muon track
quality cuts, excluding the trigger lepton, form the l þ
fake-electron and l þ fake-muon candidate samples, respectively. To determine the background, it is necessary
to estimate a fake rate from samples of jet events that
contain a negligible number of directly produced leptons.
Four samples containing jets with ET > 20, 50, 70, and
100 GeV, respectively, are used. The electron fake rate is
defined as the probability of a jet being misidentified as an
electron, and the muon fake rate as the probability of an
isolated track being misidentified as a muon. The fake rates
are determined as a function of jet ET for electrons and of
track pT for muons. The fake rate for 20 GeV electrons is
about 0.0002 fakes per jet and the fake rate for 20 GeV=c
muons is about 0.004 fakes per track. These fake rates are
then applied to each fake-electron and fake-muon candidate, one at a time, in the single-lepton sample. Events that
pass the analysis cuts are assigned a weight, which is the
appropriate fake rate, scaled to the integrated luminosity of
the dilepton data sample relative to the integrated luminosity of the single-lepton sample, taking into account the
single-lepton trigger prescale. The sum of the weights
then forms the l þ fake background. A 50% systematic
uncertainty on the misidentifed lepton background is assigned based upon the differences between the four jet
samples used to determine the fake rates.
ccÞ
is
The background arising from heavy-flavor ðbb;
estimated utilizing dilepton events enriched in heavyflavor events by inverting the normal impact parameter
requirements, i.e. jd0 j > 0:2 cm for COT-only tracks and
jd0 j > 0:02 cm if the track included information from the
SVX, and requiring that at least one lepton pass the inverse
d0 cuts. A ‘‘scaling region’’ is defined as the dilepton
invariant mass range 15 < Mll < 35 GeV=c2 . The scaling
region has no requirements imposed on ET , the number of
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jets, or other kinematic variables. In this region, the only
significant contributions to the data sample with normal d0
cuts are due to DY, heavy-flavor, and light hadrons misidentified as leptons. The DY contribution is derived from
MC samples, and the misidentified lepton component is
estimated using the technique described above. The remaining events are attributed to heavy flavor (HF) and
are used to calculate scaling factors, defined as the ratio
of these inferred HF events passing the normal d0 cuts to
the total number of events passing the above inverse d0
cuts. It is assumed that this scaling ratio is independent of
dilepton mass in regions not dominated by Z-boson decays.
To estimate the heavy-flavor background, the resulting
scaling factors, typically of order 2, are then applied to
inverse d0 events passing cuts appropriate to the various
control regions as well as the signal region. No heavyflavor contribution to the signal region survives our final
cuts.
IV. SIGNAL SAMPLES AND SYSTEMATIC
UNCERTAINTIES
A total of 74 MC signal samples corresponding to values
of m~t ¼ ½55; 190 GeV=c2 and m~ ¼ ½45; 110 GeV=c2
were generated using PYTHIA and the GEANT-based detector simulation. The events are scaled using the NLO
PROSPINO cross section [16,17] calculated with the
CTEQ6M [18] parton distribution functions (PDFs). The
cross sections depend on the stop quark mass and only
weakly, through higher-order corrections, on other SUSY
parameters. Limits on the production cross section can
therefore be translated into lower limits on the lightest
stop quark mass without reference to other SUSY parameters. The branching ratio for the decay ~t ! blþ ~l , where
l ¼ e, , or with equal probability, is assumed to be
100%.
There are several sources of systematic uncertainty on
the background estimation. The systematic uncertainty due
to the jet energy scale is determined by varying the jet
energy corrections by 1 [9]. The resulting uncertainty
varies from less than 1% to 35% and is largest for DY
events, which typically contain low-ET jets. The uncertainty arising from ISR and FSR is determined by varying
the parameters in PYTHIA that control the generation of
ISR/FSR. The resulting uncertainty is ’ 3%. The uncertainty on the acceptance arising from the PDFs used in the
MC is estimated using the uncertainties on the CTEQ
eigenvectors and determined to be 2%. Other systematic
uncertainties are 6% on the measurement of the integrated
luminosity, 2% on the dilepton trigger efficiency, 2% on
lepton identification efficiency, and 50% on the number of
misidentified electrons and muons. The uncertainties on
the cross sections used in the MC generation of the background are 8% for tt, 2% for DY, 6% for WW, 8% for WZ,
10% for ZZ, and 7% for W.
PHYSICAL REVIEW D 82, 092001 (2010)
The systematic uncertainties on the MC stop signal
estimation are nearly identical to those on the background
estimation. The uncertainty arising from the jet energy
scale varies from 1% to 11% depending on the stopsneutrino mass difference. The uncertainties due to ISR/
FSR, PDFs, luminosity, trigger efficiency, and lepton identification are the same as for the background estimation.
V. INITIAL EVENT SELECTION AND CONTROL
SAMPLES
We first define a presignal region by applying several
event selection cuts to significantly reduce background and
provide a data sample loosely consistent with the stop
quark signature. We subsequently optimize additional
cuts to improve the sensitivity of the search. This is done
prior to revealing the contents of the data in the presignal
region. At the presignal stage, the following cut requirements are applied: two opposite-charge leptons, one with
pT > 10 GeV=c and the other with pT > 5 GeV=c; mll >
15 GeV=c2 , in order to remove sequential B-hadron decays and low mass resonances; mll < 76 GeV=c2 or mll >
106 GeV=c2 for same-flavor dilepton events, in order
to eliminate Z boson-events; at least one jet with
corrected ET > 15 GeV and jj < 2; ET > 15 GeV;
Rðe; highest-ET jetÞ > 0:4; Rðl; lÞ > 0:4; and >
20 between ET and each of the leptons and the highest
ET jet.
Figure 1 shows the ET distributions separately for ee,
e, and events, as well as the summed distribution in
the presignal region. The expected ET distribution for stop
quark events with stop mass 150 GeV=c2 and sneutrino
mass 75 GeV=c2 is also shown scaled up by a factor of 5.
Figures. 2–4 show the corresponding plots for HT , the pT
of the highest pT lepton (pT1 ), and the pT of the next-tohighest pT lepton (pT2 ). HT is defined as HT ¼
ET þ pT1 þ pT2 þ ETj , where ETj is the transverse energy
of the highest pT jet. Table I lists the sources of expected
background for the presignal region and the number of
observed events. Good agreement of data with the background estimations is observed.
To check the accuracy of our estimation of SM
backgrounds, a number of ‘‘control regions’’ are defined.
One control region consists of same-flavor, oppositecharge lepton events with invariant mass 76 < mll <
106 GeV=c2 (the Z region). No jet or ET requirements
are imposed. The background is expected to arise almost
entirely from DY processes. Table II gives the number of
observed events in the Z region and the expected background. Good agreement is seen, demonstrating accurate
modeling of the predominantly DY background.
Another control region consists of events where we
require ET > 15 GeV and no jets with ET > 15 GeV. All
the other presignal cuts are applied except for the >
20 cut betweenET and each of the two highest pT leptons
and the highest ET jet. This control region predominantly
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FIG. 1 (color online). ET distributions in the presignal region for (a) the ee channel, (b) the e channel, (c) the channel, and
(d) the three channels combined. Data are shown as the points with error bars (statistical only). Shown as stacked histograms are the
backgrounds arising from misidentified hadrons and decays in flight (l þ fake), bb and cc (HF), DY, dibosons, and tt. For reference,
the expected signal for ðm~t ; m~ Þ ¼ ð150; 75Þ GeV=c2 , multiplied by five, is shown as the dashed line.
FIG. 2 (color online). HT distributions in the presignal region shown as in Fig. 1.
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FIG. 3 (color online). pT distributions of the highest pT lepton in the presignal region shown as in Fig. 1.
FIG. 4 (color online). pT distributions of the next-to-highest pT lepton in the presignal region shown as in Fig. 1.
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TABLE I. Expected backgrounds [DY, tt, diboson, misidentified hadrons and decays in flight
(l þ fake), and bb and cc (HF)] and observed events in the presignal region. The first uncertainty
listed is statistical and the second systematic. The systematic uncertainty includes a 6%
uncertainty on the luminosity common to all entries.
DY
tt
diboson
l þ fake
HF
Total
Data
ee
e
72:8 4:8 26:3
6:1 0:1 0:7
3:5 0:1 0:6
21:6 0:2 10:8
9:1 4:1 7:4
113 6 30
110
26:6 2:7 5:4
13:1 0:1 1:4
6:2 0:1 1:1
24:9 0:4 12:4
30:6 7:9 10:5
101 8 18
76
62:4 4:1 28:4
4:2 0:1 0:5
2:1 0:0 0:4
5:4 0:2 2:7
8:5 4:3 6:7
83 6 30
89
TABLE II. Expected DY background and observed events in the Z control region. The first
uncertainty listed is statistical and the second systematic. The systematic uncertainty includes a
6% uncertainty on the luminosity common to both channels.
DY
Data
ee
12 314 63 956
12 461
6904 43 568
7111
TABLE III. Expected backgrounds [DY, tt, diboson, misidentified hadrons and decays in flight
(e þ fake, þ fake), and bb and cc (HF)] and observed events for the high-ET /no jet control
region. The first uncertainty listed is statistical and the second systematic. The systematic
uncertainty includes a 6% uncertainty on the luminosity common to all entries.
DY
tt
diboson
e þ fake
þ fake
HF
Total
Data
ee
e
167 7 26
0:1 0:0 0:0
9:3 0:0 0:9
23:1 0:1 11:5
15:6 5:3 9:6
215 9 30
186
94 5 7
0:2 0:0 0:0
17:9 0:1 1:7
11:8 0:3 5:9
14:8 0:1 7:4
62:6 11:9 3:8
202 13 13
167
108 5 19
5:9 0:0 0:6
4:7 0:2 2:4
26:2 8:1 6:7
145 10 20
114
TABLE IV. Expected backgrounds [DY, tt, diboson, misidentified hadrons and decays in flight
(e þ fake, þ fake), and bb and cc (HF)] and observed events for the low-ET /no jet control
region. The first uncertainty listed is statistical and the second systematic. The systematic
uncertainty includes a 6% uncertainty on the luminosity common to all entries.
DY
tt
diboson
e þ fake
þ fake
HF
Total
Data
ee
e
6254 43 644
1:4 0:0 0:1
263 0 132
826 86 138
7345 96 671
7448
201 8 21
2:5 0:0 0:2
95 1 48
105 0 52
1102 72 110
1505 72 132
1687
4681 35 526
0:8 0:0 0:1
40 0 20
554 71 66
5276 80 530
5344
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TABLE V. Expected backgrounds [DY, tt, diboson, misidentified hadrons and decays in flight
(e þ fake, þ fake), and bb and cc (HF)] and observed events for the low-ET /one or more jet
control region. The first uncertainty listed is statistical and the second systematic. The systematic
uncertainty includes a 6% uncertainty on the luminosity common to all entries.
DY
tt
diboson
e þ fake
þ fake
HF
Total
Data
ee
e
1161 19 223
0:3 0:0 0:0
1:4 0:0 0:1
215 0 107
144 21 32
1521 28 250
1443
42 3 6
0:6 0:0 0:1
0:6 0:0 0:1
61 1 31
94 0 47
247 26 70
445 26 90
351
1004 16 204
0:2 0:0 0:0
1:0 0:0 0:1
28 0 14
170 27 46
1204 32 209
1246
tests the modeling of the highET tail of DY and HF events.
Table III gives a breakdown of the expected backgrounds
and the number of observed events for this control region.
Reasonable agreement is observed between the expected
background and data. The significant number of e DY
events (comparable to the number of ee and events) is
due to Z ! decays, where one subsequently decays to
an electron and the other to a muon.
Two additional control regions are defined as having
ET < 15 GeV and either the presence or absence of jets
with ET > 15 GeV. These control regions are sensitive to
the modeling of heavy flavor and the photon component of
DY. All other cuts are the same as for the previous control
region. Tables IV and V list the expected backgrounds
and the number of observed events for these control regions. In both cases, the data agree well with the expected
backgrounds.
VI. OPTIMIZATION OF CUTS
The signal regions are determined by optimizing cuts on
variables that minimize the limit on the ~t ~t production cross
section determined with Bayesian methods [19]. The ee,
e, and final states are tuned simultaneously and
flavor-independent cut values are obtained. The most useful variables for discriminating stop quark signal from
background areET ; HT ; the absolute value of the difference
in azimuthal angle between the dilepton system and ET ;
pT2 ; the transverse momentum of the dilepton system (pllT );
and the transverse mass between each lepton (l) and ET ,
pffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffi
defined as mTi ¼ 2pTiET ½1 cosððli ;ET ÞÞ, where
the index i labels the lepton.
The optimum values for the cut variables depend on the
mass difference (m ¼ m~t m~ ), which we group into
four sets labeled a through d in m bands parallel to and
below the m~t ¼ m~ þ mb kinematic limit. Four cut groups
were chosen as a compromise between having the cuts near
their optimal values for each stop-sneutrino point while
keeping the number of cut groups to a minimum. The
definitions of the four cut groups and the values of the
cuts used are given in Table VI.
The ET distributions for the signal region are shown
in Fig. 5 for cut group b, where the other cuts listed
in Table VI are all applied. The individual backgrounds are shown as well as the data. For reference, the
expected signal from the stop-sneutrino mass point
ð140; 90Þ GeV=c2 is also shown added to the stacked backgrounds. The vertical line represents the lower bound
placed on ET for this cut group. The ET cut is the most
and l þ fake
effective at reducing the DY, bb and cc,
backgrounds. In particular, the DY background is expected
to show a small energy imbalance in the detector, while the
reference-point signal events are characterized by large
energy imbalance. The cut on ET reduces the DY background by more than a factor of 10 even when all other
final cuts have been applied, while reducing the expected
signal by only 20%.
As shown in Fig. 6, the cut on the absolute value of the
azimuthal angle between the dilepton system and ET is
useful in further surpressing the dominant DY background.
This cut discriminates against DY events where the ET
arises from mismeasurement of the leptons or from events where neutrinos from the decay result in ET
aligned with the leptons coming from the decay.
Leptons arising from stop quark decay are typically
more energetic than those coming from b or c quark decay
because of the higher stop quark mass. A cut on pT2 , whose
distribution is shown in Fig. 7, removes all the bb and cc
TABLE VI. Table of cuts for the cut groups defining the four
signal regions.
Variable
a
Cut group
b
c
d
5–47.5
47.5–72.5 72.5–87.5 >87:5
m (GeV=c2 )
ET (GeV)
>25
>32
>32
>32
>60
>60
>60
>60
ðpllT ; ET Þ (deg)
>7
>7
>7
>7
pT2 (GeV=c)
<170
120–225 130–290 >165
HT (GeV)
>15
>11
mT (GeV=c2 )
<cm 1
pllT (GeV=c)
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FIG. 5 (color online). The cut group b ET distributions for (a) the ee channel, (b) the e channel, (c) the channel, and (d) the
three channels combined with all other cuts applied. Data are shown as the points with error bars (statistical only). Shown as stacked
histograms are the backgrounds arising from misidentified hadrons and decays in flight (l þ fake), bb and cc (HF), DY, dibosons, and
tt. MC predictions for ðm~t ; m~ Þ ¼ ð140; 90Þ GeV=c2 are stacked on top of the sums of backgrounds and are shown as the dashed line.
The cut selects events to the right of the vertical line.
FIG. 6 (color online). The cut group b distributions of the absolute value of the azimuthal angle between the dilepton system and ET
shown as in Fig. 5.
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FIG. 7 (color online). The cut group b pT2 distributions shown as in Fig. 5.
FIG. 8 (color online). The cut group b HT distributions shown as in Fig. 5. The cut selects events between the vertical lines.
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FIG. 9 (color online). The cut group b mT distributions shown as in Fig. 5.
background remaining after the other cuts have been applied. Only 5% of the reference-point signal events are
removed by this cut.
The tt background is especially difficult to reduce without severely impacting the efficiency for stop quark detec-
tion. However, because the sneutrino carries a significant
fraction of the available energy, the remaining stop quark
decay products typically have less energy than their counterparts from top quark decay. As a result the HT distribution, as shown in Fig. 8, peaks at lower values for stop
TABLE VII. Expected backgrounds and observed events for cut groups a–d. The uncertainties represent the statistical and
systematic uncertainties added in quadrature. The systematic uncertainty includes a 6% uncertainty on the luminosity common to
all entries. Also shown are the number of expected ~t ~t events for (stop, sneutrino) masses (130, 95), (140, 90), (150, 75), and
ð180; 50Þ GeV=c2 in cut groups a, b, c, and d, respectively.
cut group
a
b
c
d
flavor
DY
tt
diboson
l þ fake
Total Background
~t ~t
Data
ee
e
ee þ e þ ee
e
ee þ e þ ee
e
ee þ e þ ee
e
ee þ e þ 0:9 0:4
0:3 0:1
0:6 0:4
1:8 0:7
0:5 0:3
0:3 0:1
0:3 0:1
1:0 0:4
0:8 0:4
0:3 0:1
0:4 0:2
1:5 0:5
0:4 0:1
0:1 0:0
0:5 0:2
1:0 0:4
0:1 0:0
0:3 0:0
0:1 0:0
0:5 0:1
1:6 0:2
3:2 0:3
1:1 0:1
5:8 0:6
3:3 0:4
7:1 0:8
2:3 0:3
12:7 1:4
4:4 0:5
9:4 1:0
3:0 0:4
16:8 1:8
0:5 0:1
1:0 0:2
0:3 0:1
1:8 0:3
1:3 0:2
2:8 0:5
1:0 0:2
5:0 0:9
1:4 0:2
2:9 0:5
1:0 0:2
5:3 0:9
0:9 0:2
1:9 0:3
0:7 0:1
3:5 0:6
1:7 0:9
2:0 1:0
0:2 0:1
3:9 1:7
1:6 0:8
2:5 1:3
0:2 0:1
4:3 1:8
1:3 0:6
2:1 1:1
0:2 0:1
3:6 1:5
0:6 0:3
1:4 0:7
0:2 0:1
2:1 0:9
3:3 0:9
3:6 1:0
1:1 0:4
7:9 1:9
4:9 0:9
8:7 1:4
2:4 0:3
16:1 2:3
6:7 0:8
12:5 1:4
3:9 0:4
23:1 2:6
6:2 0:6
12:7 1:3
4:4 0:5
23:3 2:4
3:2 0:5
6:6 0:8
2:9 0:4
12:8 1:4
3:7 0:4
8:8 0:8
3:0 0:4
15:6 1:4
6:1 0:5
12:6 0:9
4:2 0:4
22:9 1:6
3:4 0:3
7:3 0:5
2:3 0:2
13:0 0:9
1
2
1
4
3
11
8
22
7
13
9
29
5
11
8
24
092001-14
SEARCH FOR THE SUPERSYMMETRIC PARTNER OF THE . . .
quarks than for top quarks. An upper limit on HT is
effective at reducing the amount of tt background, while
a lower limit helps reduce the other backgrounds.
A transverse mass cut is used in the low m cut groups
(a and b) to remove most of the DY background remaining
after the other cuts have been applied. The transverse mass
distribution for cut group b is shown in Fig. 9.
The upper bound on the transverse momentum of the
dilepton system is applied to the lowest m cut group (a)
to reduce the tt and diboson backgrounds. Its effectiveness
decreases as m increases. The sliding cut is determined
by a linear fit to the optimal dilepton pT values as a
function of m in cut group a: pllT < ðcm 1Þ GeV=c.
VII. RESULTS AND CONCLUSIONS
The numbers of expected background and observed data
events for cut groups a–d are given in Table VII. In
general, the agreement between data and SM background
estimations is good, although the statistical uncertainties
are large. The largest deviation is an excess of data over
background expectations for events with large ET .
Examination of individual event properties found no evidence for cosmic rays or pion or kaon decays in flight.
These results are not independent observations, since there
is a large overlap in events between cut groups b, c, and d.
The largest muon excess, found in cut group b, has a 0.4%
probability for the modeled background to fluctuate up to
FIG. 10 (color online). Stop cross section upper limits for fixed
stop-sneutrino mass differences. The NLO PROSPINO cross section with CTEQ6M PDFs is shown as the solid curve. The band
represents the theoretical uncertainty in the cross section due to
uncertainties on the renormalization and factorization scales and
the PDFs.
PHYSICAL REVIEW D 82, 092001 (2010)
the number of observed events or more (p value) when
considering this cut group alone. The p value includes the
effects of the estimated background uncertainty.
Combining all channels in cut group b raises the probability to 12.4%. The corresponding one-sided Gaussian significances are 2:6 and 1:2, respectively.
A joint likelihood is formed from the product of the
individual channel likelihoods. Using this likelihood, we
apply a Bayesian method [19] with a flat prior for the signal
to set 95% confidence level upper limits on the production
cross section at each considered point in the stop-sneutrino
mass plane. Systematic uncertainties are incorporated by
convolving the Poisson probabilities for the signal with
Gaussian distributions representing each background uncertainty. The three dilepton flavor channels are incorporated into the statistical analysis simultaneously (but
individually), with full treatment of correlated and uncorrelated uncertainties. The correlations between the various
backgrounds and the MC-generated signal are also accounted for.
One-dimensional curves of the upper cross section limits
and the theoretical cross section are shown in Fig. 10 for
groups of points with fixed m. The cross section upper
limits for a given m tend to be almost independent of the
stop mass.
To determine the observed (expected) exclusion contour
in the stop-sneutrino mass plane, we set the number of
events equal to the number of events in the data (total
expected background). We then calculate the 95% confidence level upper limits on the stop pair cross section for
FIG. 11 (color online). Observed and expected limits in the
stop-sneutrino mass plane. The LEP limits are for a mixing angle
of zero which provides the greatest reach.
092001-15
PHYSICAL REVIEW D 82, 092001 (2010)
T. AALTONEN et al.
74 points in the ðm~t ; m~ Þ plane to determine both the points
we exclude and those that we expect to exclude in the
absence of signal. We interpolate linearly between nearby
excluded and not-excluded points. The expected and observed limits are shown in Fig. 11 along with previous
limits [4,5].
In conclusion, this analysis extends the previously existing exclusion limits to higher sneutrino masses for stop
masses in the range 135–155 GeV=c2 and to stop masses
up to 180 GeV=c2 for low sneutrino masses. For a particular set of optimization cuts (cut group b), a 2:6 excess of
events is observed but is reduced to 1:2 when all
channels are combined.
ACKNOWLEDGMENTS
We thank the Fermilab staff and the technical staffs of
the participating institutions for their vital contributions.
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This work was supported by the U.S. Department of
Energy and National Science Foundation; the Italian
Istituto Nazionale di Fisica Nucleare; the Ministry of
Education, Culture, Sports, Science and Technology of
Japan; the Natural Sciences and Engineering Research
Council of Canada; the National Science Council of the
Republic of China; the Swiss National Science
Foundation; the A.P. Sloan Foundation; the
Bundesministerium für Bildung und Forschung,
Germany; the World Class University Program, the
National Research Foundation of Korea; the Science and
Technology Facilities Council and the Royal Society, UK;
the Institut National de Physique Nucleaire et Physique des
Particules/CNRS; the Russian Foundation for Basic
Research; the Ministerio de Ciencia e Innovación, and
Programa Consolider-Ingenio 2010, Spain; the Slovak
R&D Agency; and the Academy of Finland.
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092001-16
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